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Clinical Trial Details — Status: Active, not recruiting

Administrative data

NCT number NCT03169751
Other study ID # PNES-1.5-11.2016-EU
Secondary ID
Status Active, not recruiting
Phase
First received
Last updated
Start date September 1, 2017
Est. completion date February 1, 2020

Study information

Verified date December 2019
Source Brain Sentinel
Contact n/a
Is FDA regulated No
Health authority
Study type Observational

Clinical Trial Summary

This is an observational study of subjects receiving standard of care therapy, while admitted to Epilepsy Monitoring Unit, Department of Neurology, General Hospital Hietzing with Neurological Center Rosenhügel. Additional monitoring provided by the SPEAC System will be compared to the gold standard, vEEG. The SPEAC System is being evaluated while being used in adjunct to standard of care.


Recruitment information / eligibility

Status Active, not recruiting
Enrollment 71
Est. completion date February 1, 2020
Est. primary completion date February 1, 2020
Accepts healthy volunteers No
Gender All
Age group 18 Years to 99 Years
Eligibility Inclusion Criteria:

1. Subject has a suspected history of PNES with upper extremity motor involvement or epileptic seizures with upper extremity motor involvement.

2. Is being admitted to a hospital for routine vEEG monitoring related to seizures.

3. Male or female between the ages of 18-99.

4. If female and of childbearing potential, has a negative pregnancy test.

5. Can understand and sign written informed consent prior to the performance of any study assessments.

6. Subject must be competent to follow all study procedures.

Exclusion Criteria:

1.Intracranial EEG electrodes are being used.

Study Design


Related Conditions & MeSH terms


Intervention

Device:
Brain Sentinel Monitoring and Alerting System
The Brain Sentinel Monitoring and Alerting System is indicated for use as an adjunct to seizure monitoring in adults in the home or healthcare facilities during periods of rest. The device is to be used on the belly of the biceps muscle to analyze surface electromyographs (sEMG) signals that may be associated with generalized tonic-clonic (GTC) seizures and to provide an alarm to alert caregivers of unilateral, appendicular, tonic extension that could be associated with a GTC seizure. The System records and stores sEMG data for subsequent review by a trained healthcare professional.

Locations

Country Name City State
Austria Krankenhaus Hietzing mit Neurologischem Zentrum Rosenhugel Wien

Sponsors (1)

Lead Sponsor Collaborator
Brain Sentinel

Country where clinical trial is conducted

Austria, 

Outcome

Type Measure Description Time frame Safety issue
Primary 3 independent physicians' abilities to differentiate between epileptic events (with upper extremity motor involvement) and PNES (with upper extremity motor involvement) using vEEG, using a majority rules approach (2 out of 3) The primary endpoint is to test a physician's ability to differentiate between epileptic events (with upper extremity motor involvement) and PNES (with upper extremity motor involvement) using vEEG review. PNES and epileptic seizures will initially be identified, described, and documented following routine clinical care (vEEG). 5 days
Primary 3 independent physicians' abilities to differentiate between epileptic events (with upper extremity motor involvement) and PNES (with upper extremity motor involvement) using sEMG, using a majority rules approach (2 out of 3) The primary endpoint is to test a physician's ability to differentiate between epileptic events (with upper extremity motor involvement) and PNES (with upper extremity motor involvement) using sEMG recorded by the SPEAC System. PNES and epileptic seizures will initially be identified, described, and documented following routine clinical care (vEEG). The sEMG record will be evaluated to identify PNES, displaying upper extremity motor components, and epileptic seizures, displaying upper extremity (UE) motor components. It is anticipated that > 70% of PNES with UE motor involvement identified by vEEG will be identified by sEMG recordings as well. 5 days
Secondary To evaluate the System's ability to detect GTC seizures, as compared to vEEG monitoring It is anticipated that >70% of GTC seizures identified by vEEG will be identified by the SPEAC System's automated alarms as well. 5 days
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